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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 10-RES-JB
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    Explanations

    the word "Bartlett."

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Bart"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     td
    -0.65
    TPPStreamerBot
    -0.62
     departure
    -0.62
    ciation
    -0.59
     butterflies
    -0.59
    itures
    -0.58
     drift
    -0.58
    terday
    -0.57
     whales
    -0.57
     Fiji
    -0.56
    POSITIVE LOGITS
    olini
    1.21
    lett
    1.18
    ric
    1.05
    rys
    1.03
    enders
    0.99
    ram
    0.98
    ony
    0.98
    lest
    0.96
    esian
    0.95
    ender
    0.93
    Activations Density 0.030%

    No Known Activations